Low Latency Matrix Multiplication Unit
By employing a systolic array architecture with multiple weight shift chains and separate registers, the hardware circuits efficiently load weight values, thereby reducing latency and enhancing the processing speed of neural network calculations.
Patent Information
- Application Number
- JP2024024596
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- Priority Date
- 2017-05-17
- Filing Date
- 2024-02-21
- Publication Date
- 2025-05-09
- Estimated Expiration
- 2038-05-17
AI Technical Summary
Existing neural network hardware systems face challenges in reducing the latency of matrix multiplication units, particularly in loading weight values into weight matrix registers efficiently.
The implementation of dedicated hardware circuits with a systolic array architecture, featuring multiple chains of weight shift registers and separate registers for transposed and non-transposed weight shifts, allows for faster loading of weight values into matrix multiplication units.
This approach significantly reduces the latency of matrix multiplication units by enabling weight values to be loaded at twice the speed of traditional systems, potentially increasing the overall processing speed of neural network calculations.
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Abstract
Citation Information
Patent Citations
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